Website Modernization with Generative AI on Google Cloud

想讓你的網站變得更智慧、更具搜尋體驗？
透過 Vertex AI Search 加上 Google Cloud 的生成式 AI 工具就能做到。

這堂「Website Modernization with Generative AI on Google Cloud」課程，
實作如何讓網站內容變得更易被發掘、翻譯更流暢、搜尋更貼近使用者需求。

後續會繼續分享參加計劃的心得！

𝕂𝕖𝕖𝕡 𝕝𝕖𝕒𝕣𝕟𝕚𝕟𝕘. 𝕂𝕖𝕖𝕡 𝕙𝕒𝕔𝕜𝕚𝕟𝕘!

Quiz 1

1. What are the three areas where you can embed generative AI to modernize a website?
   ✅ Enhance website navigation
   [ ] Implement authentication
   [ ] Report generationcheck
   ✅ Streamline content generation
   ✅ Improve self-service
2. When creating, managing, and consuming website content, which persona should you consider? Select four.
   ✅  Content creator
   ✅  End user
   [ ] Database administrator
   ✅  Content performance analyst
   [ ] Operations manager
   ✅  Content manager
3. What are some areas of a website consumer journey where generative AI can play a role? Select four.
   ✅  Product discovery
   [ ] Website development
   ✅  Engagement
   ✅  Retention
   ✅  Conversion
   [ ] Website maintenance

Quiz 2

1. What are the correct relationships between search, recommendation apps, and data stores? Select three.
   [ ] Generic recommendation apps and data stores have a many-to-many relationship.
   ✅  Healthcare search apps have a many-to-one relationship with data stores.
   ✅  Media apps have a many-to-one relationship with data stores.
   ✅  Generic search apps and data stores have a many-to-many relationship.
2. To create search apps in Vertex AI Agent Builder, what are the different types of data that can be used? Select four.
   [ ] Pub/Sub messages
   ✅  Data from website URLs
   ✅  Healthcare FHIR data
   ✅  Structured data
   ✅  Unstructured data
3. What are the three types of search apps that you can create in Vertex AI Agent Builder?
   ✅  Media search apps
   [ ] Generative AI search apps
   ✅  Generic search apps
   ✅  Healthcare search apps
   [ ] Website search apps
4. Which statements about data stores used for search and recommendation apps are correct? Select three.
   [ ] Data stores with structured data can only be imported from BigQuery tables.
   ✅  A given data store has one or more data records called documents.
   [ ] A given data store can contain different types of data or documents.
   ✅  You can use healthcare FIHR data from the Cloud Healthcare API.
   ✅  You can use website URLs to create a data store with website data.

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